Results 151 to 160 of about 448,585 (316)
Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi +5 more
wiley +1 more source
This work shows that the mechanical performance of multimaterial digital light processing (DLP) printed thermoset composites is governed by resin compatibility and interfacial design rather than spatial patterning alone. Brittle and ductile resin combinations produced premature interfacial failure, while graded interfaces and mechanically compatible ...
Ahmed M. H. Ibrahim +3 more
wiley +1 more source
Data-driven smoothing parameter selection in density estimation
Kernel density estimation (KDE) is a seasoned concept in nonparametric density estimation problems. KDE accuracy depends on the shape of the kernel as well as the bandwidth of the kernel. However, the shape of the kernel has only a minor influence on the estimation, whereas selecting proper smoothing parameter (bandwidth) is critical.
openaire +1 more source
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
Smoothing parameter selection when errors are correlated and application to ozone data
Automatic smoothing parameter selection methods for nonparametric regression like cross-validation and generalized cross-validation are known to be severely affected by dependence in the regression errors.
St-Aubin, Robert
core
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal +3 more
wiley +1 more source
DATA-DRIVEN RATE-OPTIMAL SPECIFICATION TESTING IN REGRESSION MODELS [PDF]
We propose new data-driven smooth tests for a parametric regression function. The smoothing parameter is selected through a new criterion that favors a large smoothing parameter under the null hypothesis.
Emmanuel Guerre, Pascal Lavergne
core
X‐ray computed tomography reveals how process‐induced defects evolve from green to sintered states in Fused Filament Fabrication (FFF)‐manufactured 17‐4PH stainless steel. Internal porosity, weakest cross‐sections, and fracture locations show strong correlation with tensile performance, demonstrating the potential of computed tomography (CT)‐based ...
György Ledniczky +3 more
wiley +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
An Adaptive Selection Criterion for Spline Smoothing
[[abstract]]In nonparametric regression, smoothing splines are a popular method for curve fitting, in which selection of the smoothing parameter is crucial.
Chen, Chun-Shu; Huang, H. C.
core

